# X (Twitter) Followers & Following Scraper — No Login (`seemuapps/x-followers-following-scraper`) Actor Extract the full followers and following lists of any public X (Twitter) profile in one run. No cookies, no login — bio, location, verification, and follower counts. - **URL**: https://apify.com/seemuapps/x-followers-following-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Social media, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 user results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## X (Twitter) Followers & Following Scraper — No Login Extract the full followers and following lists of any public X (Twitter) profile in one run. No cookies, no login required. Export usernames, bios, follower counts, verification status, and more. ### What you get - Username, display name, user ID, bio, and location for each account - Follower count, following count, tweet count, and media count - Blue verification status and verified type - Profile picture and cover photo URLs - Pinned tweet IDs and account creation date - Cursor-based pagination — fetch millions of accounts across multiple runs ### Use cases - Audience research and competitive analysis on X - Influencer vetting — verify follower counts and audience overlap - Lead generation for creator outreach and partnerships - Community mapping — find connections between accounts - Brand monitoring — track which verified accounts follow your competitors ### How to use 1. Enter a **Username** (with or without `@`, or paste a profile URL) 2. Choose **Mode** — `Followers`, `Following`, or `Both` 3. Set **Max Users** (default 500 per relationship; 0 for unlimited) 4. Run the actor — one user per row in the **Dataset** tab, tagged with `relationship` 5. To fetch the next page, open the **Key-value store** tab → copy the `NEXT_PAGE_ID` value → paste it into **Page ID** on your next run (single-mode runs only) ### Output format One user per dataset row — perfect for direct CSV, Excel, or Google Sheets export: ```json { "scrapedFromUsername": "elonmusk", "relationship": "followers", "username": "example", "userId": "123456789", "name": "Example User", "description": "Bio text…", "location": "San Francisco", "isBlueVerified": true, "followersCount": 12345, "followingCount": 678, "tweetsCount": 9999, "createdAt": "Mon Jan 01 12:00:00 +0000 2020", "profilePicture": "https://pbs.twimg.com/...", "profileUrl": "https://x.com/example" } ```` In **Both** mode, the dataset contains rows for both followers and following — filter by the `relationship` field to separate them. ### Pagination Each run returns up to **Max Users**. If more accounts exist, the actor saves a resume cursor to the default **Key-value store** under the key `NEXT_PAGE_ID`. 1. Open the **Key-value store** tab on the run page 2. Copy the value of `NEXT_PAGE_ID` 3. Start a new run with the same **Mode** (`Followers` or `Following`) and paste the cursor into **Page ID** When `NEXT_PAGE_ID` is `null`, the list is fully exhausted. Pagination is supported only for `Followers` or `Following` runs — not `Both`. ### Input options | Field | Type | Description | |-------|------|-------------| | Username | string | X handle, with or without `@` (required) | | Mode | select | `Followers`, `Following`, or `Both` — default Followers | | Max Users | integer | Cap per relationship — default 500, 0 for unlimited | | Page ID | string | `NEXT_PAGE_ID` from the previous run's Key-value store, single-mode only | # Actor input Schema ## `username` (type: `string`): X (Twitter) username with or without leading @. Profile URLs (https://x.com/username) are also accepted. ## `mode` (type: `string`): What to fetch: who follows the user, who the user follows, or both. ## `maxItems` (type: `integer`): Maximum users per relationship type. Set 0 for unlimited. ## `pageId` (type: `string`): Optional. Cursor from a previous run to resume. Only valid when mode is 'followers' or 'following' (not 'both'). ## Actor input object example ```json { "username": "elonmusk", "mode": "followers", "maxItems": 500 } ``` # Actor output Schema ## `results` (type: `string`): One row per user: scrapedFromUsername, relationship ('followers'|'following'), username, userId, name, description, isBlueVerified, follower/following/tweet counts, profile URLs, etc. ## `nextPageId` (type: `string`): NEXT\_PAGE\_ID record in the default key-value store. Paste into Page ID on the next run to resume; null when the list is exhausted or when running in 'Both' mode (chain via single mode only). # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "username": "elonmusk" }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/x-followers-following-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "username": "elonmusk" } # Run the Actor and wait for it to finish run = client.actor("seemuapps/x-followers-following-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "username": "elonmusk" }' | apify call seemuapps/x-followers-following-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/x-followers-following-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "X (Twitter) Followers & Following Scraper — No Login", "description": "Extract the full followers and following lists of any public X (Twitter) profile in one run. No cookies, no login — bio, location, verification, and follower counts.", "version": "1.0", "x-build-id": "qCLR2dvCTcB9phPY8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~x-followers-following-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-x-followers-following-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~x-followers-following-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-x-followers-following-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~x-followers-following-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-x-followers-following-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "username" ], "properties": { "username": { "title": "Username", "type": "string", "description": "X (Twitter) username with or without leading @. Profile URLs (https://x.com/username) are also accepted." }, "mode": { "title": "Mode", "enum": [ "followers", "following", "both" ], "type": "string", "description": "What to fetch: who follows the user, who the user follows, or both.", "default": "followers" }, "maxItems": { "title": "Max Users", "minimum": 0, "type": "integer", "description": "Maximum users per relationship type. Set 0 for unlimited.", "default": 500 }, "pageId": { "title": "Page ID (pagination)", "type": "string", "description": "Optional. Cursor from a previous run to resume. Only valid when mode is 'followers' or 'following' (not 'both')." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```